goldilocks: Adaptive Trial Designs for Survival and Binary Endpoints

Implements Goldilocks adaptive trial designs for time-to-event and fixed-time binary endpoints. Outcomes are generated with a piecewise exponential model, with conjugate Gamma priors used for predictive imputation. Final analyses may use log-rank or Cox tests, Bayesian piecewise-exponential inference, frequentist risk differences, or Bayesian beta-binomial inference. The method closely follows Broglio and colleagues <doi:10.1080/10543406.2014.888569> and supports simulation of design operating characteristics.

Version:	0.6.0
Depends:	R (≥ 4.1.0), survival
Imports:	dplyr, parallel, pbmcapply, PWEALL, Rcpp, rlang, stats
LinkingTo:	BH, Rcpp
Suggests:	bench, covr, DiagrammeR, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-07-29
DOI:	10.32614/CRAN.package.goldilocks
Author:	Graeme L. Hickey [aut, cre], Ying Wan [aut], Thevaa Chandereng [aut] (bayesDP code as a template), Becton, Dickinson and Company [cph], Tim Kacprowski [ctb] (For code from fastlogrank R package.)
Maintainer:	Graeme L. Hickey <graemeleehickey at gmail.com>
BugReports:	https://github.com/graemeleehickey/goldilocks/issues
License:	GPL-3
URL:	https://graemeleehickey.github.io/goldilocks/, https://github.com/graemeleehickey/goldilocks, https://CRAN.R-project.org/package=goldilocks
NeedsCompilation:	yes
Language:	en-US
Materials:	README, NEWS
CRAN checks:	goldilocks results

Documentation:

Reference manual:

goldilocks.html , goldilocks.pdf

Vignettes:

ADVENT: a published Goldilocks design (source, R code) Package architecture (source, R code) Bayesian piecewise-exponential designs (source, R code) Bayesian binary outcome designs (source, R code) Inspecting adaptive decision paths (source, R code) Single-arm designs with a performance goal (source, R code) Technical details of the Goldilocks design (source, R code) Two-arm randomized trials (source, R code)

Downloads:

Package source:	goldilocks_0.6.0.tar.gz
Windows binaries:	r-devel: goldilocks_0.6.0.zip, r-release: goldilocks_0.6.0.zip, r-oldrel: goldilocks_0.6.0.zip
macOS binaries:	r-release (arm64): goldilocks_0.6.0.tgz, r-oldrel (arm64): goldilocks_0.6.0.tgz, r-release (x86_64): goldilocks_0.6.0.tgz, r-oldrel (x86_64): goldilocks_0.6.0.tgz
Old sources:	goldilocks archive

Linking:

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